A Finite State Machine Based Automated Driving Controller and its Stochastic Optimization
2017 ◽
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In this paper, we develop a finite state machine based automated highway driving controller. The controller is described by feedback control laws in each state and state transition conditions. We test the controller in a traffic simulator and evaluate its performance based on a metric function. Furthermore, we propose a stochastic gradient based optimization approach to achieve optimal calibration of the developed controller. We expect that this controller can serve as a baseline for automated driving algorithm developments.
1984 ◽
Vol C-33
(3)
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pp. 269-277
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2014 ◽
Vol 2014
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pp. 1-6
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2016 ◽
Vol 1
(2)
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pp. 353-358
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2013 ◽
Vol 18
(2-3)
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pp. 49-60
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